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Paper Citation Record · LEDGER

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation

As of 4 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 3 inbound Pith citation observations for arXiv:2603.04531.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.04531 v3

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:52:42.661106Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T12:35:08.339219Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-03T16:58:43.338417Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16ec4c34-133f-4ef7-bd41-7669e330f02c · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Diffusion Policy: Visuomotor Policy Learning via Action Diffusion,

Reference 1

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source=pdf_text observed=2026-08-02T18:52:42.504295Z digest=sha256:eedee04eea36141865cdedf067d2f64a07149af80924edc8b9cd9e52ea5bf74c

Observation 7e07f37f-c570-4241-9f9a-d9020adcf59e · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 2

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source=pdf_text observed=2026-08-02T18:52:42.511458Z digest=sha256:673884ecffe62af1c753ca1e5511375732fd034a40ed41d6cfdca4c41d4b2d00

Observation e057691d-c1f5-4043-befb-c05e64684b05 · outbound

This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots

Reference 3

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source=pdf_text observed=2026-08-02T18:52:42.514832Z digest=sha256:17066d5cef670d737bbb818d494a44b81e5550c4c7dac6c1322411d762a5cdda

Observation 7e8d6954-aa0b-4ab1-bf0b-e19b77e44822 · outbound

This paper cites Dexforce: Extracting force-informed actions from kinesthetic demonstrations for dexterous manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Dexforce: Extracting force-informed actions from kinesthetic demonstrations for dexterous manipulation,

Reference 4

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source=pdf_text observed=2026-08-02T18:52:42.517969Z digest=sha256:f79e8d4be40ab3639107c0d561c0f475a9e232d014673904b86a57fe5915372e

Observation 74b088de-4082-4bba-94c5-df7b3fe70365 · outbound

This paper cites Dexumi: Using human hand as the universal manipulation interface for dexterous manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Dexumi: Using human hand as the universal manipulation interface for dexterous manipulation,

Reference 5

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source=pdf_text observed=2026-08-02T18:52:42.520925Z digest=sha256:3f5704ca59ea844ffab4fc5d4425046ecd76fd966de0a9fa93298d9eab103be2

Observation 4824d641-58b4-499b-be07-9581b94dc188 · outbound

This paper cites Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

Reference 6

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source=pdf_text observed=2026-08-02T18:52:42.523477Z digest=sha256:a96caef1c7d91bc633a63e1f22c1b477458aa9a0655e6c6ea4a867c2e2ae331e

Observation e7c5d4d8-f31c-4cf5-aceb-456541a1f636 · outbound

This paper cites Deepmimic: Example-guided deep reinforcement learning of physics-based character skills,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Deepmimic: Example-guided deep reinforcement learning of physics-based character skills,

Reference 7

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source=pdf_text observed=2026-08-02T18:52:42.526660Z digest=sha256:538587e6853fcd4c88c71736db0ba2362676074f7779dd054a545853b61de87e

Observation 2373acfd-61a9-4376-be27-441fb60ab89b · outbound

This paper cites Hover: Versatile neural whole-body controller for humanoid robots,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Hover: Versatile neural whole-body controller for humanoid robots,

Reference 8

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source=pdf_text observed=2026-08-02T18:52:42.529421Z digest=sha256:f48db35f3715f3f8b94043a47474cecc19c07e6a3b0fe7726137eee9222a6ec1

Observation abc83c9e-2869-476e-8e3f-0cbbaac7de62 · outbound

This paper cites Bfm-zero: A promptable behavioral foundation model for humanoid control using unsupervised reinforcement learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Bfm-zero: A promptable behavioral foundation model for humanoid control using unsupervised reinforcement learning,

Reference 9

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source=pdf_text observed=2026-08-02T18:52:42.532407Z digest=sha256:811c4384c682b56deb64efdf9e01a5b602eb0a523ac043aaf63f3fb6fc164eb4

Observation f5fd9519-96ff-4027-9d3f-7769c260314c · outbound

This paper cites MuJoCo Playground.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation MuJoCo Playground

Reference 10

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source=pdf_text observed=2026-08-02T18:52:42.535173Z digest=sha256:accfb22fe50629e1d8c4350b19915f2af8222296fb2be71a786a9b8d23c0cc64

Observation c3961f81-62c0-4182-9d2d-1625f2a565be · outbound

This paper cites In-Hand Object Rotation via Rapid Motor Adaptation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation In-Hand Object Rotation via Rapid Motor Adaptation,

Reference 11

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source=pdf_text observed=2026-08-02T18:52:42.538016Z digest=sha256:03b11e845e542ccf096a8f13f3eda2c846defa294fbb6cc43a724d8c7f7d064b

Observation 2c2177d1-1358-47e1-9408-677d53d60a29 · outbound

This paper cites Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture

Reference 12

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source=pdf_text observed=2026-08-02T18:52:42.540697Z digest=sha256:c03ac96fac497bad43711aeca0b8a0d16d8a86b9af4818f30b069e098fec80be

Observation 7c6860fb-89b3-425c-a591-1e345f5ef509 · outbound

This paper cites Dextreme: Transfer of agile in-hand manipulation from simulation to reality,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Dextreme: Transfer of agile in-hand manipulation from simulation to reality,

Reference 13

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source=pdf_text observed=2026-08-02T18:52:42.543689Z digest=sha256:a16060065cb5374736963c6d10a654fa16c5ab71548d6de51bf755938da738c8

Observation 91e663de-875e-4838-a510-a1ead0d41898 · outbound

This paper cites DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation DextrAH-RGB: Visuomotor Policies to Grasp Anything with Dexterous Hands

Reference 14

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source=pdf_text observed=2026-08-02T18:52:42.546685Z digest=sha256:1aa2881ded39534fac315c6c4dcae287076e0baba9b6cfb1ffa7023eec8450ed

Observation 4297fbe7-d47f-4bb4-aea5-e50a9decdc67 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Solving Rubik's Cube with a Robot Hand

Reference 15

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source=pdf_text observed=2026-08-02T18:52:42.549413Z digest=sha256:f6ccd93a6d50dfd16787cdd1ba94b00f8a16a42624258777cc3387e489732380

Observation af5e418d-3c68-42f3-b6a3-001e821c4b77 · outbound

This paper cites Learning dexterous in-hand manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Learning dexterous in-hand manipulation,

Reference 16

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source=pdf_text observed=2026-08-02T18:52:42.552155Z digest=sha256:1481d9dc3ec78b14d7c8a11f99714eeb4ddaf2826be5af550697313d79093fb3

Observation 84c4becd-03a1-47f7-9fab-3ebf1c10ac44 · outbound

This paper cites Tactile beyond pixels: Multisensory touch representations for robot manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Tactile beyond pixels: Multisensory touch representations for robot manipulation,

Reference 17

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source=pdf_text observed=2026-08-02T18:52:42.554830Z digest=sha256:a67abb4b4e9f7c72651f78e9a2ebc9d6d28ca734b4f954bbb9c7ce86555aae96

Observation 4cda217c-b430-4d74-9fa0-026606b16a46 · outbound

This paper cites AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch

Reference 18

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source=pdf_text observed=2026-08-02T18:52:42.557706Z digest=sha256:fa688762306e12a148e79ccfd6d108cac843ed68d4a14c5bf642695c11c5f0ac

Observation 3f937f82-8c17-47a4-bf82-9bfd7c764d84 · outbound

This paper cites DexterityGen: Foundation Controller for Unprecedented Dexterity.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation DexterityGen: Foundation Controller for Unprecedented Dexterity

Reference 19

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source=pdf_text observed=2026-08-02T18:52:42.560537Z digest=sha256:51aeeddadae7dd6d2ae2e1d38825fc106aac4faca48d1e4e9f1057fda47a1407

Observation 970816fc-17af-4dd5-beb2-4f4602818a5e · outbound

This paper cites Rotating without Seeing: Towards In-hand Dexterity through Touch.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Rotating without Seeing: Towards In-hand Dexterity through Touch

Reference 20

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source=pdf_text observed=2026-08-02T18:52:42.563277Z digest=sha256:de0aeef7746cc218d59af7826e6c09275d5f87f5db6ebdb8c835cb34cd0fb90c

Observation 4efd562e-38bb-4cea-8998-7942f17ca767 · outbound

This paper cites Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors,

Reference 21

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source=pdf_text observed=2026-08-02T18:52:42.565896Z digest=sha256:b104b0decad2903510fdfa85f687bc7c2319b46d7ccfe008681eb9df57a31e94

Observation 93cbf336-1025-457f-ac05-02ac9cfffaee · outbound

This paper cites Tacsl: A library for visuotactile sensor simulation and learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Tacsl: A library for visuotactile sensor simulation and learning,

Reference 22

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source=pdf_text observed=2026-08-02T18:52:42.568641Z digest=sha256:33d7d5bea27c0292d447e15df1fa1727ce0bcc1da251945ed763e56a4332f79e

Observation f608ce82-16a6-40a3-954c-0798c0c67872 · outbound

This paper cites Sim2real manipulation on unknown objects with tactile-based reinforce- ment learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Sim2real manipulation on unknown objects with tactile-based reinforce- ment learning,

Reference 23

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source=pdf_text observed=2026-08-02T18:52:42.571081Z digest=sha256:2a70d0385909938db924f10494134764c6244537d80987d314482255e79868d5

Observation ba0d0ba6-72e9-4edd-acbf-2c62b6d20a75 · outbound

This paper cites Learning by cheating,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Learning by cheating,

Reference 24

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source=pdf_text observed=2026-08-02T18:52:42.573415Z digest=sha256:b347b997eb88c7c8aad9c4bf44cf18ebdf63e62f464b821bad1e9651de88b08f

Observation 835b442a-fd5b-40af-8be3-ba1565944072 · outbound

This paper cites Data-driven planning via imitation learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Data-driven planning via imitation learning,

Reference 25

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source=pdf_text observed=2026-08-02T18:52:42.575890Z digest=sha256:d385b9ef82d629f9776adff52ae27df8ac6f87392bd7fc92a21107918e0ed937

Observation 5003cf9f-7c2b-439a-92ee-f5cbf6094b10 · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation RMA: Rapid Motor Adaptation for Legged Robots

Reference 26

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source=pdf_text observed=2026-08-02T18:52:42.578500Z digest=sha256:36811a2d07e245abaa4da94440e8dbb7bca9b9841a7d092fc2ee5df1973cadb2

Observation d75cee5d-bcd0-4bad-86ba-ec65997c2f1c · outbound

This paper cites An overview of dexterous manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation An overview of dexterous manipulation,

Reference 27

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source=pdf_text observed=2026-08-02T18:52:42.580907Z digest=sha256:c4465f74b0d56e7862c147692fe86b48a56ad916250e62f315827bcbf3a6915b

Observation a68a5cc9-06e6-4d88-90bb-f736fe9ca591 · outbound

This paper cites In-hand dexterous manipulation of piecewise-smooth 3-d objects,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation In-hand dexterous manipulation of piecewise-smooth 3-d objects,

Reference 28

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source=pdf_text observed=2026-08-02T18:52:42.583269Z digest=sha256:bea374b88ac0290bfc2a0d817e0a4b53d4ae34a7c7279c1a70e5d5a866a34992

Observation f416e789-a58f-491d-ab21-f0d65fa6b8f3 · outbound

This paper cites Deep dynamics models for learning dexterous manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Deep dynamics models for learning dexterous manipulation,

Reference 29

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source=pdf_text observed=2026-08-02T18:52:42.585672Z digest=sha256:42034688ecb43c0604dcbfb3e12204ea87b0bfe2db32684530bf50c2aa3d4215

Observation 2a9546ba-1f4f-4443-adb3-bd499a100d9f · outbound

This paper cites Dextrous manipulation by rolling and finger gaiting,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Dextrous manipulation by rolling and finger gaiting,

Reference 30

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source=pdf_text observed=2026-08-02T18:52:42.588013Z digest=sha256:e999ba569daf103e892fba1b450fe79ce7597069e1894f08ebaa46b1b97d9116

Observation 0425dbd0-bbc5-4c32-8d55-ad134396a268 · outbound

This paper cites Implementing a force strategy for object re-orientation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Implementing a force strategy for object re-orientation,

Reference 31

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source=pdf_text observed=2026-08-02T18:52:42.590533Z digest=sha256:07f29588e13d6d3f6d135290a3ea56201657957c2f2c7efdadb87f850ee19d7c

Observation 2274e2a3-f563-4930-96bb-50a6372528f1 · outbound

This paper cites Complex in-hand manipulation via compliance-enabled finger gaiting and multi- modal planning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Complex in-hand manipulation via compliance-enabled finger gaiting and multi- modal planning,

Reference 32

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source=pdf_text observed=2026-08-02T18:52:42.592869Z digest=sha256:630b47f9c754e5bbd76d478964b9b9027d684e149f3e3e3c165e94c082ec4402

Observation 27daf843-c831-463d-9271-a60707748015 · outbound

This paper cites Visual dexterity: In-hand reorientation of novel and complex object shapes,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Visual dexterity: In-hand reorientation of novel and complex object shapes,

Reference 33

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source=pdf_text observed=2026-08-02T18:52:42.595155Z digest=sha256:d892220b2956e967a3dbb13601869e2a6884331974ac83200ad74aef5f09e895

Observation 6e4f0156-ed64-4cd9-925b-761e0ed740f8 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Domain randomization for transferring deep neural networks from simulation to the real world,

Reference 34

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source=pdf_text observed=2026-08-02T18:52:42.598366Z digest=sha256:fd0a094bb3b282673527a6c39a2b8a3546d608865ed653910302ac79ba1cafd9

Observation 0126551d-dec3-41bd-917d-224f36925462 · outbound

This paper cites Robot Parkour Learning.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Robot Parkour Learning

Reference 35

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source=pdf_text observed=2026-08-02T18:52:42.600821Z digest=sha256:029d3aa0e4177e894f54bec6353fe85dc5e2ea130f7de541b669d1ec4c956bf8

Observation 5292d27a-c882-48da-bbd4-b838efe97596 · outbound

This paper cites Learning Perception-Aware Agile Flight in Cluttered Environments.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Learning Perception-Aware Agile Flight in Cluttered Environments

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.603331Z digest=sha256:fd8ab57dcd1924a7770aa8fa6bf5bd556fcc71407780606ac7acd63313c582bf

Observation 364b9bf4-06f4-4a2f-9175-a273a7257e39 · outbound

This paper cites GelSight: High-resolution Robot Tactile Sensors for Estimating Geometry and Force,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation GelSight: High-resolution Robot Tactile Sensors for Estimating Geometry and Force,

Reference 37

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source=pdf_text observed=2026-08-02T18:52:42.605872Z digest=sha256:70db5b3858441c3edda397f84bedb238ba19e48b33b34f051156f48f5ad66de6

Observation c4d57818-528b-4801-bb7e-593f1ec7be95 · outbound

This paper cites DIGIT: A Novel Design for a Low-Cost Compact High- Resolution Tactile Sensor With Application to In-Hand Manipulation,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation DIGIT: A Novel Design for a Low-Cost Compact High- Resolution Tactile Sensor With Application to In-Hand Manipulation,

Reference 38

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no resolver link, observed 2026-08-02T18:52:42.608184Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.608184Z digest=sha256:133ab6ce8edcfa2ca0e15185434b41df8cbafd5d70cea6f9cc1671b25ea4f7bd

Observation 7f9831b2-dbd8-47c2-a2d4-b3e57acbce4b · outbound

This paper cites Reskin: versatile, replaceable, lasting tactile skins,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Reskin: versatile, replaceable, lasting tactile skins,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.613377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.613377Z digest=sha256:4393b67db1d8dab56eaf3bba444301846f66a2b052db6b75b7906e06e4a8aafa

Observation dd6ce3d3-e72b-4a76-9239-6372745a06be · outbound

This paper cites Covering a Robot Fingertip With uSkin: A Soft Electronic Skin With Distributed 3-Axis Force Sensitive Elements for Robot Hands,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Covering a Robot Fingertip With uSkin: A Soft Electronic Skin With Distributed 3-Axis Force Sensitive Elements for Robot Hands,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.615779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.615779Z digest=sha256:d7627dd726590db707a1d41866186145ed2cf75d3e42ab5a3fdd33cb5c779b2d

Observation b1ec5128-7650-464c-8c33-71c6bcd52edd · outbound

This paper cites 3d-vitac: Learning fine-grained manipulation with visuo-tactile sensing,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation 3d-vitac: Learning fine-grained manipulation with visuo-tactile sensing,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.618381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.618381Z digest=sha256:58f2e3ae559a37d0ce2eec293d462390945daa3a2b53a05b689957253b47591d

Observation 40e9595c-2fc6-4ec2-8f27-9ffa863a52da · outbound

This paper cites Self-supervised perception for tactile skin covered dexterous hands,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Self-supervised perception for tactile skin covered dexterous hands,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.620803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.620803Z digest=sha256:d00e89c85302e4faa6734338f8c0042feaa68ab549f9aaddb98754ecb2e86f4b

Observation 2ba512f6-063a-4443-9e06-690d7714c522 · outbound

This paper cites Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.623261Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.623261Z digest=sha256:89112e150e039523dd3e0f0f22b5341288a8c33a399a3108508cf4ce1b4a2451

Observation 217f5481-6cbd-4af0-9001-12501b469678 · outbound

This paper cites Cable manipulation with a tactile-reactive gripper,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Cable manipulation with a tactile-reactive gripper,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.625995Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.625995Z digest=sha256:34acbbbe039023ce9131217877c0aacd96a5a372ed487e9b57760583d413a53b

Observation 911ab33c-6c94-42d7-949b-94cfd7f299a3 · outbound

This paper cites Tactile slam: Real-time inference of shape and pose from planar pushing,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Tactile slam: Real-time inference of shape and pose from planar pushing,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.628831Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.628831Z digest=sha256:b407639a89a59bb81f53fbaf85f87aa5fab4901fd62528d793043515f15f43c4

Observation d16878d2-38c6-4216-8940-40a8af12f61b · outbound

This paper cites Sparsh: Self-supervised touch representations for vision-based tactile sensing,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Sparsh: Self-supervised touch representations for vision-based tactile sensing,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.632005Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.632005Z digest=sha256:cda362733795cc0cd5494bf3550d43a78e8d00bff6489f76b142fa8dc8e8d3ab

Observation f52447e6-2a79-4dd0-9c56-41bad6a7144a · outbound

This paper cites Transferable tactile transformers for representation learning across diverse sensors and tasks,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Transferable tactile transformers for representation learning across diverse sensors and tasks,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.634591Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.634591Z digest=sha256:c6ca42f9f1aecc1456c2febea06b49df50cb153dc8276a353a7b545e763b367d

Observation 17ed1501-2958-40d1-8c97-d83b61ec3bff · outbound

This paper cites Lessons from learning to spin “pens.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Lessons from learning to spin “pens

Reference 48

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unresolved
no resolver link, observed 2026-08-02T18:52:42.637070Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.637070Z digest=sha256:fc77e08c3ecdf2f7c2970e4aabce095564ac528c1ed5db25010f24d743e3c8cc

Observation d6b6e6cf-dfc2-4cec-9096-e67e31f02b29 · outbound

This paper cites Proximal Policy Optimization Algorithms.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Proximal Policy Optimization Algorithms

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.639692Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.639692Z digest=sha256:05bdc5c1c8baee63d8c5807337168979782e06589fbfdba29e440e0a133585a7

Observation cc19a6ab-f113-4069-9508-2528cb19832d · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.642631Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.642631Z digest=sha256:fca0ca2216b259b7e737a8153e5e5f8155fb86914f6d6b3da56333646d7a58a0

Observation 9a59ac11-c2cc-4570-9735-0068c37de9c0 · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Asymmetric Actor Critic for Image-Based Robot Learning

Reference 51

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unresolved
no resolver link, observed 2026-08-02T18:52:42.645198Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.645198Z digest=sha256:dbb7b71dd6b088e07641ec812e7e977cba8f4e4d251e31b98f3b569a7d97dc1c

Observation 899b8569-b756-427a-bfa0-fa8ac33481ac · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Bootstrap your own latent-a new approach to self-supervised learning,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.648054Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.648054Z digest=sha256:ce5978975c7abdc5827e1bccbc8b55960b739f76f3acce6af7ad92c1b709d29d

Observation 7c04bacd-4e86-4d5d-9c0c-57df2f7ceb11 · outbound

This paper cites Data2vec: A general framework for self-supervised learning in speech, vision and language,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Data2vec: A general framework for self-supervised learning in speech, vision and language,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.650552Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.650552Z digest=sha256:03d2a5b02ac15a5b30563345c1541e1700b4cf4e6547f6d62f76bd997ec1a4ec

Observation c3c6b449-027c-4ff6-a8b0-751371e53dd0 · outbound

This paper cites borglab/gtsam,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation borglab/gtsam,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.653177Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.653177Z digest=sha256:a9aebc41fa3a021fd964330795ecabab8862ddfe58517ae8a3a589be925345c4

Observation f58701e1-c1c2-4165-b962-d552945842fd · outbound

This paper cites General In-Hand Object Rotation with Vision and Touch,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation General In-Hand Object Rotation with Vision and Touch,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.655874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.655874Z digest=sha256:b73dbbbcc84d685ec51d176f2394014db5c7142e3d2de071f82be58b1603ef50

Observation 5029303b-88c8-42dd-ad7d-e3f5310679f8 · outbound

This paper cites On the continuity of rotation representations in neural networks,.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation On the continuity of rotation representations in neural networks,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.658366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.658366Z digest=sha256:73652143726ccf94ab9018e55bbd9e9a9e53f0a6939115162f88ac7400bf138d

Observation 0a4bd26b-30e2-4269-8dee-e5b6df7a09f9 · outbound

This paper cites Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-02T18:52:42.661106Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.661106Z digest=sha256:a221843867e481adc6b5783ab249fa3c0dfa4a68c01bf11f2e2b452f2160de1c

Observation c61b966f-c207-4461-a294-a6c81a2ac653 · outbound

This paper cites Available: https://ieeexplore.ieee.org/document/9018215.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Available: https://ieeexplore.ieee.org/document/9018215

Reference 2020

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unresolved
no resolver link, observed 2026-08-02T18:52:42.610793Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T18:52:42.610793Z digest=sha256:a32b18e150134547a5001beac7a0193714e335773a6df1eed146732858a4186b

Observation a1a28af7-f03a-4cd5-9e00-6a37e46fc0ce · outbound

This paper cites Available: https://journals.sagepub.com/doi/abs/10.1177/ 02783649241273668?journalCode=ijra.

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation Available: https://journals.sagepub.com/doi/abs/10.1177/ 02783649241273668?journalCode=ijra

Reference 2023

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malformed identifier
no resolver link, observed 2026-08-02T18:52:42.508233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:52:42.508233Z digest=sha256:7a899a0dad7ec76003053473c082abe0760970ea7c76a96feb7b1b1121e920fd

Pith citing papers

Observation 80f4f103-614d-4712-9937-bedc78349571 · inbound

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation cites this paper.

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-06-29T11:33:22.685058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-29T11:30:12.878240Z digest=sha256:a662f84bf7fac6ecbb175401d6c07a059284fc128e803e2fbfe6e2401e5bafb3

Observation 698e7d31-89df-44c6-b8e0-7d00680e01f0 · inbound

Transferring Contact, Not Just Motion: Compliant Grasping Across Dexterous Hands cites this paper.

Transferring Contact, Not Just Motion: Compliant Grasping Across Dexterous Hands PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:58:43.339915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-27T04:43:54.248289Z digest=sha256:27cc3cfc7881244fb3c91bf60363c23e04bf141f3bfec1b086f741f7f367775c

Observation 8a9949b4-31f9-4506-899a-124fb477aad4 · inbound

Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations cites this paper.

Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-07-03T12:38:07.160023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-03T12:35:08.339219Z digest=sha256:96606467207497ad1efcac4480d88286ef0484dbc7c43ae34c179376a7f1f559